Hai Shu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Canonical Correlation Analysis

Image Generation

Deformable Registration

Top Venues

BrainLes@MICCAI (2)

Medical Image Anal.

Publications

Hai Shu
D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data. CoRR (2024)
Taehyo Kim, Hai Shu, Qiran Jia, Mony de Leon
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data. AISTATS (2024)
Liming Zhong, Zeli Chen, Hai Shu, Kaiyi Zheng, Yin Li, Weicui Chen, Yuankui Wu, Jianhua Ma, Qianjin Feng, Wei Yang
Multi-Scale Tokens-Aware Transformer Network for Multi-Region and Multi-Sequence MR-to-CT Synthesis in a Single Model. IEEE Trans. Medical Imaging 43 (2) (2024)
Yuanming Lin, Heng Li, Haofeng Liu, Hai Shu, Zinan Li, Yan Hu, Jiang Liu
Domain Adaptative Retinal Image Quality Assessment with Knowledge Distillation Using Competitive Teacher-Student Network. ISBI (2023)
Haojin Li, Heng Li, Hai Shu, Jianyu Chen, Yan Hu, Jiang Liu
Self-Supervision Boosted Retinal Vessel Segmentation for Cross-Domain Data. ISBI (2023)
Yiwen Zhang, Liming Zhong, Hai Shu, Zhenhui Dai, Kaiyi Zheng, Zefeiyun Chen, Qianjin Feng, Xuetao Wang, Wei Yang
Cross-Task Feedback Fusion GAN for Joint MR-CT Synthesis and Segmentation of Target and Organs-at-Risk. IEEE Trans. Artif. Intell. 4 (5) (2023)
Heng Li, Haofeng Liu, Huazhu Fu, Yanwu Xu, Hai Shu, Ke Niu, Yan Hu, Jiang Liu
A generic fundus image enhancement network boosted by frequency self-supervised representation learning. Medical Image Anal. 90 (2023)
Taehyo Kim, Hai Shu, Qiran Jia, Mony de Leon
DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data. CoRR (2023)
Liming Zhong, Pinyu Huang, Hai Shu, Yin Li, Yiwen Zhang, Qianjin Feng, Yuankui Wu, Wei Yang
United multi-task learning for abdominal contrast-enhanced CT synthesis through joint deformable registration. Comput. Methods Programs Biomed. 231 (2023)
Liming Zhong, Zeli Chen, Hai Shu, Yikai Zheng, Yiwen Zhang, Yuankui Wu, Qianjin Feng, Yin Li, Wei Yang
QACL: Quartet attention aware closed-loop learning for abdominal MR-to-CT synthesis via simultaneous registration. Medical Image Anal. 83 (2023)
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing. NeurIPS (2023)
Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement. CoRR (2022)
Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu
A Comparative Study of non-deep Learning, Deep Learning, and Ensemble Learning Methods for Sunspot Number Prediction. Appl. Artif. Intell. 36 (1) (2022)
Hai Shu, Zhe Qu, Hongtu Zhu
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data. J. Mach. Learn. Res. 23 (2022)
Yuchen Dang, Ziqi Chen, Heng Li, Hai Shu
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction. CoRR (2022)
Hai Shu, Ronghua Shi, Qiran Jia, Hongtu Zhu, Ziqi Chen
mFI-PSO: A Flexible and Effective Method in Adversarial Image Generation for Deep Neural Networks. IJCNN (2022)
Heng Li, Haofeng Liu, Huazhu Fu, Hai Shu, Yitian Zhao, Xiaoling Luo, Yan Hu, Jiang Liu
Structure-Consistent Restoration Network for Cataract Fundus Image Enhancement. MICCAI (2) (2022)
Qiran Jia, Hai Shu
BiTr-Unet: A CNN-Transformer Combined Network for MRI Brain Tumor Segmentation. BrainLes@MICCAI (2) (2021)
Qiran Jia, Hai Shu
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation. CoRR (2021)
Hai Shu, Zhe Qu, Hongtu Zhu
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multiple High-dimensional Datasets. CoRR (2020)
Liming Zhong, Tengfei Li, Hai Shu, Chao Huang, Jason M. Johnson, Donald F. Schomer, Ho-Ling Liu, Qianjin Feng, Wei Yang, Hongtu Zhu
WM: Tumor Segmentation and Tract Statistics for Assessing White Matter Integrity with Applications to Glioblastoma Patients. NeuroImage 223 (2020)
Jiarui Tang, Tengfei Li, Hai Shu, Hongtu Zhu
Variational-Autoencoder Regularized 3D MultiResUNet for the BraTS 2020 Brain Tumor Segmentation. BrainLes@MICCAI (2) (2020)
Chenggang Lyu, Hai Shu
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation. BrainLes@MICCAI (1) (2020)
Ronghua Shi, Hai Shu, Hongtu Zhu, Ziqi Chen
Adversarial Image Generation and Training for Deep Convolutional Neural Networks. CoRR (2020)
Chenggang Lyu, Hai Shu
A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation. CoRR (2020)
Zhe Qu, Hai Shu
CDPA: Common and Distinctive Pattern Analysis between High-dimensional Datasets. CoRR (2019)
Hai Shu, Hongtu Zhu
Sensitivity Analysis of Deep Neural Networks. CoRR (2019)
Hai Shu, Hongtu Zhu
Sensitivity Analysis of Deep Neural Networks. AAAI (2019)
Lutao Dai, Tengfei Li, Hai Shu, Liming Zhong, Haipeng Shen, Hongtu Zhu
Automatic Brain Tumor Segmentation with Domain Adaptation. BrainLes@MICCAI (2) (2018)
Tengfei Li, Fan Zhou, Ziliang Zhu, Hai Shu, Hongtu Zhu
A label-fusion-aided convolutional neural network for isointense infant brain tissue segmentation. ISBI (2018)